Smart System for Non-Invasive Muscle Monitoring in Polymyositis Patients

Smart System for Non-Invasive Muscle Monitoring in Polymyositis Patients

A K NIVEDHA*1,N.SRIPOORNIMA*2, ALBIN EBBY*3, ARJUN K B*4, ASWIN K SHAJI*5

*1,2 Assistant professors, Department of BME, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.

*3,4,5 UG Students, Department of BME, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.

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Abstract – This project introduces a wearable system specifically developed to monitor muscle health in individuals with polymyositis using a non-invasive approach. The device integrates a set of biosensors—Electromyography (EMG) to track muscle activity, a pulse oximeter (SpO₂) to measure blood oxygen levels, a Galvanic Skin Response (GSR) sensor for stress detection, and an accelerometer to monitor physical movement. All components are managed by an ESP32 microcontroller, which collects and processes the data in real-time. Physiological readings are wirelessly transmitted to a secure cloud-based platform, while essential health information is also shown on a built-in LCD screen, giving users instant feedback. This design moves away from traditional bulky or invasive systems, offering a portable, user-friendly, and cost-effective alternative. The system is well-suited for use in clinical settings, sports training, and at home. Its capabilities include early detection of muscle fatigue, rehabilitation monitoring, and proactive muscle care. Due to its scalable and affordable design, it can be particularly beneficial in under-resourced environments.Future development will focus on integrating artificial intelligence for predictive analytics and personalized insights, further advancing the quality of care and self-monitoring.